> try starting with the tutorial:
> http://www.scipy.org/Tentative_NumPy_Tutorial
>
> For example, to extract an array containing the maxima of each row of
> mymatrix, you can use the amax() function:
>
> temp = numpy.amax(mymatrix, axis=1)
>
>
thanx..had a tuff time finding the functions..will
On 27/12/2007, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote:
> in my code i am trying to normalise a matrix as below
>
> mymatrix=matrix(..# items are of double type..can be negative
> values)
> numrows,numcols=mymatrix.shape
>
> for i in range(numrows):
> temp=mymatrix[i].max()
>
in my code i am trying to normalise a matrix as below
mymatrix=matrix(..# items are of double type..can be negative
values)
numrows,numcols=mymatrix.shape
for i in range(numrows):
temp=mymatrix[i].max()
for j in range(numcols):
mymatrix[i,j]=abs(mymatrix[i,j]/t
